The construction of energy landscape for bio-dynamics is attracting more and more attention recent years. In this talk, I will introduce the strategy to construct the landscape from its connection with rare events, which relies on the large deviation theory for Gillespie-type jump dynamics. In the application to a typical genetic switching model, the two-scale large deviation theory is developed to take into account the fast switching of DNA states. The comparison with other proposals are also discussed. We demonstrate different diffusive limits arise when considering different regimes for genetic translation and switching processes. I will also talk about its applications in understanding the S-phase checkpoint activation mechanism for budding yeast. This is a joint work with Fangting Li, Xianggang Li, Cheng Lv and Peijie Zhou.


Prof. Li obtained his bachelor degree and PhD at Tsinghua University and is now a full professor at Peking University, his basic interest is the stochastic modeling and simulations in Science such as chemical reaction kinetics, rare events, Anderson localization, multiscale modeling of complex fluids, statistical data analysis and so on. Prof. Li has published more than 40 papers on PNAS, J. Chem. Phys., Comm. Math. Phys. and so on.

Prof. Tiejun LI
School of Mathematical Sciences
Peking University

Date & Time
11 Jan 2017 (Wednesday) 14:30 – 15:30


Organized by
Department of Mathematics